Remedy Robotics is a medical technology company developing robotic systems for endovascular intervention. Its proprietary technology combines robotics, machine learning, and advanced computer vision to help physicians perform highly precise endovascular procedures and expand access to life-saving stroke and cardiovascular care. Initially focused on neurovascular intervention, Remedy is addressing the limited availability of specialized treatment for time-critical cardiovascular emergencies, with the long-term goal of enabling expert intervention regardless of patient location. Headquartered in San Francisco, Remedy is backed by DCVC, Blackbird, and Tony Fadell's Build Collective, among others.
The RoleWe’re looking for an interdisciplinary engineer and researcher to lead the development of autonomy and intelligence for the DARPA MASH (Medics Autonomously Stopping Hemorrhage) program. The goal of MASH is to enable autonomous robotic systems to rapidly control internal bleeding in environments where immediate access to expert surgical care is impossible.
This role sits at the intersection of robotics, machine learning, simulation, and medical imaging. You will work across the full stack of autonomy—from perception and scene understanding to planning, control, and deployment on real robotic systems. You will leverage large-scale datasets to train and evaluate deep learning models that enable robots to understand anatomy, reason about intervention strategies, and safely operate a robot in highly constrained human vasculatures. This role is primarily focused on machine learning, but is interdisciplinary and will also involve simulation, medical imaging, and robotics.
You will collaborate closely with other machine learning engineers, roboticists, and clinicians to rapidly prototype, test, and deploy. The ideal candidate is excited by challenging, open-ended technical problems and highly motivated by our ultimate mission: to save lives.
You HaveOne of
Bachelor’s degree with 4+ years of relevant industry experience
Master’s degree with 2+ years of relevant industry experience
PhD and 0+ years of industry experience
Expertise with Python
Experience training image-based deep neural networks, including
Deep neural network libraries such as PyTorch
Defining training and validation datasets
Using data augmentations during training
Selecting loss functions and metrics
Cloud-based data and training
Conducting large-scale experiments to determine actionable improvements
Experience with simulators, such as MuJoCo or Isaac
Experience developing high-quality software, ranging from design and implementation to testing and deployment
Eagerness to learn on the job, iterate fast, and collaborate
Experience with robotics
software, such as ROS2
algorithms, such as motion planning
math, such as transforms
Experience with medical imaging data such as x-rays, CTs, and MRIs
Experience bridging the sim-to-real gap
(Approved for Public Release, Distribution Unlimited)
Skills Required
- Bachelor's degree and 4+ years experience or Master's degree and 2+ years experience or PhD and 0+ years experience
- Expertise with Python
- Experience training image-based deep neural networks including deep neural network libraries such as PyTorch, defining training datasets, and using data augmentations
- Experience with robotics software such as ROS, algorithms such as motion planning, and math such as transforms
- Experience with simulators such as MuJoCo or Isaac
- Experience developing high-quality software from design to deployment
What We Do
Remedy Robotics exists to bring flawless, immediate, endovascular intervention (EI)—treatment for stroke, heart attack, bleeding, aneurysmal disease, pulmonary embolism and more— to every patient worldwide. Remedy is the only company in the world to have performed: - Completely robotic neurointerventional procedures in humans from start to finish. - Completely remote robotic neurointerventional procedures in humans from from start to finish. - Autonomous endovascular navigation. A few key principles underlie our work. We strongly believe that: - EI is optimizable. Tool movements should be deliberate and efficient. Procedures should be fast and effective. Complications should be avoided without exception. - All patients at elite US institutions deserve access to flawless EI without delay. But so do all patients at smaller US community hospitals. And so do all patients in Kinshasa and Port Moresby and Alice Springs and anywhere in the world. - The world's finest technology and technologists should focus on advancing our health and wellbeing. They belong at Remedy Robotics.
